Paper Info
Title
Population-based routing in the SpiNNaker neuromorphic architecture.
Abstract
SpiNNaker is a hardware-based massively-parallel real-time universal neural network simulator designed to simulate large-scale spiking neural networks. Spikes are distributed across the system using a multicast packet router. Each packet represents an event (spike) generated by a neuron. On the basis of the source of the spike (chip, core and neuron), the routers distribute the network packet across the system towards the destination neuron(s). This paper describes a novel approach to the projection routing problem that shows advantages in both the size of the routing tables generated and the computational complexity for the generation of routing tables. To achieve this, spikes are routed on the basis of the source population, leaving to the destination core the duty to propagate the received spike to the appropriate neuron(s).
Year
DOI
Venue
2012
10.1109/IJCNN.2012.6252635
IJCNN
Keywords
Field
DocType
circuit simulation,computational complexity,network routing,neural net architecture,real-time systems,SpiNNaker neuromorphic architecture,computational complexity,hardware-based massively parallel real-time universal neural network simulator,large-scale spiking neural networks,multicast packet router,network packet distribution,population-based routing,projection routing problem,routing tables
Link-state routing protocol,Equal-cost multi-path routing,Dynamic Source Routing,Computer science,Static routing,Computer network,Routing domain,Source routing,Routing table,Routing protocol
Conference
ISSN
Citations 
PageRank 
2161-4393
8
0.50
References 
Authors
12
4
Name
Order
Citations
PageRank
Sergio Davies112510.80
Javier Navaridas220123.58
Francesco Galluppi338125.48
S. B. Furber41484179.05